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Genes and Gene Ontologies Common to Airflow Obstruction and Emphysema in the Lungs of Patients with COPD

Overview of attention for article published in PLOS ONE, March 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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9 patents
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1 Facebook page

Citations

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25 Dimensions

Readers on

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43 Mendeley
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Title
Genes and Gene Ontologies Common to Airflow Obstruction and Emphysema in the Lungs of Patients with COPD
Published in
PLOS ONE, March 2011
DOI 10.1371/journal.pone.0017442
Pubmed ID
Authors

Santiyagu M. Savarimuthu Francis, Jill E. Larsen, Sandra J. Pavey, Edwina E. Duhig, Belinda E. Clarke, Rayleen V. Bowman, Nick K. Hayward, Kwun M. Fong, Ian A. Yang

Abstract

Chronic obstructive pulmonary disease (COPD) is a major public health problem with increasing prevalence worldwide. The primary aim of this study was to identify genes and gene ontologies associated with COPD severity. Gene expression profiling was performed on total RNA extracted from lung tissue of 18 former smokers with COPD. Class comparison analysis on mild (n = 9, FEV(1) 80-110% predicted) and moderate (n = 9, FEV(1) 50-60% predicted) COPD patients identified 46 differentially expressed genes (p<0.01), of which 14 genes were technically confirmed by quantitative real-time-PCR. Biological replication in an independent test set of 58 lung samples confirmed the altered expression of ten genes with increasing COPD severity, with eight of these genes (NNMT, THBS1, HLA-DPB1, IGHD, ETS2, ELF1, PTGDS and CYRBD1) being differentially expressed by greater than 1.8 fold between mild and moderate COPD, identifying these as candidate determinants of COPD severity. These genes belonged to ontologies potentially implicated in COPD including angiogenesis, cell migration, proliferation and apoptosis. Our secondary aim was to identify gene ontologies common to airway obstruction, indicated by impaired FEV(1) and KCO. Using gene ontology enrichment analysis we have identified relevant biological and molecular processes including regulation of cell-matrix adhesion, leukocyte activation, cell and substrate adhesion, cell adhesion, angiogenesis, cell activation that are enriched among genes involved in airflow obstruction. Exploring the functional significance of these genes and their gene ontologies will provide clues to molecular changes involved in severity of COPD, which could be developed as targets for therapy or biomarkers for early diagnosis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
United Kingdom 1 2%
Germany 1 2%
Unknown 39 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 23%
Student > Ph. D. Student 7 16%
Professor > Associate Professor 5 12%
Other 4 9%
Student > Master 4 9%
Other 6 14%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 17 40%
Biochemistry, Genetics and Molecular Biology 8 19%
Computer Science 4 9%
Agricultural and Biological Sciences 3 7%
Nursing and Health Professions 1 2%
Other 2 5%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 September 2021.
All research outputs
#3,173,964
of 22,663,969 outputs
Outputs from PLOS ONE
#41,767
of 193,506 outputs
Outputs of similar age
#14,600
of 107,964 outputs
Outputs of similar age from PLOS ONE
#351
of 1,458 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 107,964 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 1,458 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.